Problem or limitation
Problem Statement
While AlgoScope provides excellent visualizations of algorithm execution, users currently do not receive detailed numerical insights into the algorithm's behavior during runtime.
Displaying execution statistics alongside visualizations would help learners better understand algorithm efficiency and internal operations.
Proposed solution
Proposed Solution
Add a real-time statistics panel that updates as the algorithm executes.
Features
Total Comparisons
Total Swaps
Current Step Count
Elements Processed
Time Complexity
Space Complexity
Benefits
Enhances learning experience.
Helps users connect visual behavior with theoretical complexity.
Enables better comparison between algorithms.
Provides quantitative feedback alongside animations.
Alternatives considered
No response
Use case
A learner visualizing sorting or searching algorithms can track real-time metrics such as comparisons, swaps, and execution steps. This helps them correlate algorithm animations with theoretical complexity concepts and better understand why certain algorithms perform more efficiently than others
Additional context
References
VisuAlgo for educational algorithm visualization patterns.
Algorithm Visualizer for execution tracking and learning-focused UI.
Mockup
I will design a lightweight statistics panel positioned alongside the visualization canvas displaying real-time comparisons, swaps, step count, and complexity information. A Figma mockup will be attached before implementation for maintainer review.
Problem or limitation
Problem Statement
While AlgoScope provides excellent visualizations of algorithm execution, users currently do not receive detailed numerical insights into the algorithm's behavior during runtime.
Displaying execution statistics alongside visualizations would help learners better understand algorithm efficiency and internal operations.
Proposed solution
Proposed Solution
Add a real-time statistics panel that updates as the algorithm executes.
Features
Total Comparisons
Total Swaps
Current Step Count
Elements Processed
Time Complexity
Space Complexity
Benefits
Enhances learning experience.
Helps users connect visual behavior with theoretical complexity.
Enables better comparison between algorithms.
Provides quantitative feedback alongside animations.
Alternatives considered
No response
Use case
A learner visualizing sorting or searching algorithms can track real-time metrics such as comparisons, swaps, and execution steps. This helps them correlate algorithm animations with theoretical complexity concepts and better understand why certain algorithms perform more efficiently than others
Additional context
References
VisuAlgo for educational algorithm visualization patterns.
Algorithm Visualizer for execution tracking and learning-focused UI.
Mockup
I will design a lightweight statistics panel positioned alongside the visualization canvas displaying real-time comparisons, swaps, step count, and complexity information. A Figma mockup will be attached before implementation for maintainer review.